research
∙
09/30/2020
Stochastic Precision Ensemble: Self-Knowledge Distillation for Quantized Deep Neural Networks
The quantization of deep neural networks (QDNNs) has been actively studi...
share
research
∙
05/31/2020
Quantized Neural Networks: Characterization and Holistic Optimization
Quantized deep neural networks (QDNNs) are necessary for low-power, high...
research
∙
02/02/2020
SQWA: Stochastic Quantized Weight Averaging for Improving the Generalization Capability of Low-Precision Deep Neural Networks
Designing a deep neural network (DNN) with good generalization capabilit...
research
∙
09/04/2019
Empirical Analysis of Knowledge Distillation Technique for Optimization of Quantized Deep Neural Networks
Knowledge distillation (KD) is a very popular method for model size redu...
research
∙
07/01/2017
